Smart mooring for safe and efficient ocean energy production – SMARTMOORING
The SMARTMOORING project focuses on the development and validation of moored marine energy systems that will enable data-driven design optimizations, predictive maintenance procedures, and in-operation optimization of energy yield. The smart mooring systems will contribute to ocean energy units with higher reliability, significantly better power conversion efficiency and lower LCOE. The technologies that will be developed and validated have relevance to a broader set of applications, including floating wind/solar, as well as in applications outside the energy sector. The concept relies on fibre optic sensing, integrated in mooring components, providing real-time information of the component’s shape, load, vibration signature, and temperature along the entire length of the
component. Several challenges at different levels (fibre-optic sensing, fibre integration in mooring components, modelling,
and testing) will be addressed in the project, bringing the technologies from TRL2 to TRL5. The value created by the project output will be demonstrated in two use cases in the project: a mooring rod in the wave energy converters (EC) of CorPower Ocean, and a carbon tether in the tidal EC of Minesto. These EC stakeholders anticipate significant economic, environmental, and operational efficiency gains by having access to the SMARTMOORING sensors, in design phases and in field operation.
Project coordination
Lamine DIENG (UGE - Département Matériaux et Structures)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partnership
UGE - MAST UGE - Département Matériaux et Structures
RISE RESEARCH INSTITUTES OF SWEDEN AB
CALSENS Cálculo y Estructuras Sensadas SL
Minesto AB Minesto AB
UPV UNIVERSITAT POLITECNICA DE VALENCIA
CPO CorPower Ocean AB
Help of the ANR 66,397 euros
Beginning and duration of the scientific project:
December 2023
- 24 Months